Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1623 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

Max Range: 0.0405. Min Range: -0.0405

Max Act: 0.0405. Min Act: -0.0004

Data Index: 1417968 (Python Code)

Max Activating Token Index: 407

Text #1

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Max Act: 0.0388. Min Act: -0.0004

Data Index: 1572380 (Python Code)

Max Activating Token Index: 705

Text #2

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Max Act: 0.0385. Min Act: -0.0004

Data Index: 1468515 (Python Code)

Max Activating Token Index: 98

Text #3

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Max Act: 0.0371. Min Act: -0.0004

Data Index: 1590065 (Python Code)

Max Activating Token Index: 131

Text #4

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Max Act: 0.0363. Min Act: -0.0004

Data Index: 1487771 (Python Code)

Max Activating Token Index: 99

Text #5

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Max Act: 0.0352. Min Act: -0.0004

Data Index: 1656611 (Python Code)

Max Activating Token Index: 310

Text #6

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Data Index: 606100 (C4 (Web Text))

Max Activating Token Index: 653

Text #7

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Data Index: 1588823 (Python Code)

Max Activating Token Index: 526

Text #8

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Data Index: 1513149 (Python Code)

Max Activating Token Index: 375

Text #9

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Data Index: 1363642 (Python Code)

Max Activating Token Index: 137

Text #10

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Data Index: 1501448 (Python Code)

Max Activating Token Index: 30

Text #11

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Data Index: 1551111 (Python Code)

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Text #12

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Data Index: 1557211 (Python Code)

Max Activating Token Index: 403

Text #13

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Data Index: 1436404 (Python Code)

Max Activating Token Index: 967

Text #14

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Data Index: 1592086 (Python Code)

Max Activating Token Index: 100

Text #15

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Data Index: 1416424 (Python Code)

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Text #16

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Data Index: 1505944 (Python Code)

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Text #17

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Data Index: 1496849 (Python Code)

Max Activating Token Index: 267

Text #18

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Data Index: 1400117 (Python Code)

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Text #19

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Max Act: 0.0325. Min Act: -0.0004

Data Index: 1381647 (Python Code)

Max Activating Token Index: 743